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Tier-1 brand and metro location increase applicant density despite specialized GenAI skill requirements.
Medium because core GenAI, cloud, and Python skills transfer well, but LLM and data-lake experience increases domain specificity.
High due to explicit seven-year requirement plus mandatory GenAI, Python, cloud, and leadership experience.
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Lead and manage a team of software engineers developing, implementing, and maintaining GenAI software solutions.
Design and oversee event-driven architectures and containerized deployments (Kubernetes) to support scalable, real-time data processing and AI model integration.
Collaborate with senior leadership and cross-functional teams to translate business requirements into technical solutions and drive innovation in GenAI engineering processes.
Bachelor's Degree required, preferably in Engineering or Technology.
Minimum 7 years of work experience in software engineering with at least 3 years hands-on Python development focused on GenAI use cases.
Proficiency in containerized cloud deployments (Azure/AWS) and knowledge of CI/CD practices.
Oral and written English proficiency mandatory.
Experienced manager with proven ability leading software engineering teams on scalable, event-driven, cloud-native applications for GenAI projects.
Strong technical background in Python application design, containerization, cloud deployments, and modular secure software architecture.
Familiar with LLM frameworks, data pipeline setup for model training/inference, and continuously updating skills via solution architecture certifications.